Evidence map›Paper›PMID 23955801›Full record

SynthesisTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

Lack of association of EPHX1 gene polymorphisms with risk of hepatocellular carcinoma: a meta-analysis.

Chen-Yang Duan, Meng-Ying Liu, Shao-bo Li, Kuan-sheng Ma, Ping Bie

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Role of mAmerican journal of translational research · 2020
    Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Chen-Yang DuanCompany Five of Cadet Brigade, Third Military Medical University, Chongqing, 400038, China.
Meng-Ying Liu
Shao-bo Li
Kuan-sheng Ma
Ping Bie
Army Medical University · CNSouthwest Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies have focused on the association of a gene (EPHX1) encoding microsomal epoxide hydrolase with the carcinogenesis of hepatocellular carcinoma (HCC). In the present study, we performed a meta-analysis to systematically summarize the possible association between EPHX1 genetic polymorphisms and the risk for HCC. We conducted a search of case-control studies on the associations of EPHX1 genetic polymorphisms with susceptibility to HCC in PubMed, EMBASE, ISI Web of Science, Wanfang database in China, and the Chinese National Knowledge Infrastructure databases. Data from eligible studies were extracted for meta-analysis. HCC risk associated with EPHX1 genetic polymorphism was estimated by pooled odds ratios and 95% confidence intervals. Thirteen studies were included in the present meta-analysis. Our results showed that, for the two polymorphisms (337 T > C and 416A > G) of EPHX1 gene, neither allele frequency nor genotype distributions were associated with risk for HCC in all genetic models (all P > 0.05). This meta-analysis suggests that EPHX1 genetic polymorphisms were not associated with the risk of HCC.

Indexed as

Genetic Association StudiesPolymorphism, GeneticAllelesCarcinoma, HepatocellularCase-Control StudiesEpoxide HydrolasesGenetic Predisposition to DiseaseGenotypeHumansLiver NeoplasmsOdds RatioPolymorphism, Single NucleotidePublication BiasRiskEPHX1 protein, humanEpoxide Hydrolases

Identifiers

PMID23955801
OpenAlexW2060422485

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.